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考虑用户投资意愿的电压暂降治理设备优化配置
引用本文:孟珺遐,蒋利民,谢佳妮,汪颖.考虑用户投资意愿的电压暂降治理设备优化配置[J].电力建设,2021,42(8):55-62.
作者姓名:孟珺遐  蒋利民  谢佳妮  汪颖
作者单位:中国电力科学研究院有限公司,北京市100192;四川大学电气工程学院,成都市610065
基金项目:国家电网公司总部科技项目“现代工业园区电压暂降影响因素评估及防治关键技术研究”(52153218000B)
摘    要:针对目前电压暂降治理方案未考虑治理设备标准容量与定制容量单位成本的差异,分析了不间断电源(uninterruptible power supply,UPS)与动态电压恢复器(dynamic voltage regulator,DVR)治理设备不同容量(定制和标准化)与初始成本之间的关系。同时为合理量化用户电压暂降治理投资客观需求,基于用户不同敏感设备经历单次暂降事件造成的经济损失,提出更合理的用户总体电压暂降严重程度度量方法。进一步地,结合用户投资能力,采用前景理论量化用户电压暂降治理投资意愿,得到符合用户投资意愿的治理成本约束。运用模拟退火算法,以治理方案投资收益净现值最大为优化目标,计入治理成本及其治理设备占地面积约束,对用户电压暂降治理设备进行优化配置。最后,通过实例验证了所提方法的有效性。

关 键 词:电压暂降  治理  优化配置  定制电力  园区用户  用户投资意愿  前景理论
收稿时间:2021-01-19

Optimal Configuration of Voltage Sag Mitigation Equipment Considering User's Investment Willingness
MENG Junxia,JIANG Limin,XIE Jiani,WANG Ying.Optimal Configuration of Voltage Sag Mitigation Equipment Considering User's Investment Willingness[J].Electric Power Construction,2021,42(8):55-62.
Authors:MENG Junxia  JIANG Limin  XIE Jiani  WANG Ying
Affiliation:1. China Electric Power Research Institute Co., Ltd., Beijing 100192, China2. College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Abstract:Aiming at that the difference of unit cost between standard capacity and customized capacity being not considered in the current research of voltage sag mitigation strategy, the relationship between different capacities (customized and standardized) and initial cost of governance equipment such as uninterruptible power supply (UPS ) and dynamic voltage restorer (DVR) is analyzed in this paper. On the other hand, according to the economic losses caused by a single sag event of different sensitive equipment, a more reasonable method to measure the severity of voltage sag is proposed. Moreover, according to the overall severity of voltage sag and the user’s attention to voltage sag, this paper analyzes the investment willingness of users. Combined with the investment ability of users, the prospect theory is used to quantify the investment willingness of voltage sag mitigation. Then, the mitigation cost accords with the user’s investment willingness is obtained as the constraint condition. Taking the maximum return on investment of the mitigation strategy as the objective function, and taking the mitigation cost and the area of the treatment equipment as constraints, the simulated annealing algorithm is used to optimize the configuration of user voltage sag mitigation equipment. Finally, an example is given to verify the effectiveness of the proposed method.
Keywords:voltage sag  mitigation  optimal configuration  customized power  park user  user’s investment willingness  prospect theory  
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